Joan Calafell Sandiumenge
About Joan Calafell Sandiumenge
Joan Calafell Sandiumenge is a researcher specializing in deep learning applied to physics modeling, currently working at the Barcelona Supercomputing Center. He has a background in mechanical engineering and computational science, with experience at institutions such as MIT and CTTC - UPC.
Work at Barcelona Supercomputing Center
Joan Calafell Sandiumenge has been employed at the Barcelona Supercomputing Center since 2019. In his role, he focuses on deep learning applied to physics modeling, software development, and leads research and development projects. His work involves integrating advanced computational techniques to enhance simulations in various scientific domains.
Education and Expertise
Joan holds multiple degrees from the Universitat Politècnica de Catalunya, including a Master of Science in Computational Science and a Master of Engineering in Mechanical Engineering. He also completed a Doctor of Philosophy in Computational Science-Numerical Methods. Additionally, he earned a Postgraduate Degree in Artificial Intelligence from UPC School. His educational background supports his expertise in deep learning and computational science.
Background in Mechanical Engineering
Joan's background in mechanical engineering provides a solid foundation for his work in computational science and deep learning. This combination allows him to approach complex problems in physics modeling with a comprehensive understanding of both engineering principles and computational methodologies.
Previous Experience at CTTC - UPC
Before joining the Barcelona Supercomputing Center, Joan worked at the Centre Tecnològic de Transferència de Calor (CTTC - UPC) as a Research Associate in Computational Science, Software Developer, and R&D Project Engineer from 2017 to 2019. His role involved developing software solutions and contributing to research initiatives in computational science.
Research Experience at MIT
In 2017, Joan served as a Visiting Researcher at the Massachusetts Institute of Technology for three months. This experience allowed him to collaborate with leading researchers and gain insights into advanced computational techniques, further enhancing his expertise in the field.